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Wenxiang Cong
Wenxiang Cong
Verified email at rpi.edu
Title
Cited by
Cited by
Year
CT super-resolution GAN constrained by the identical, residual, and cycle learning ensemble (GAN-CIRCLE)
C You, G Li, Y Zhang, X Zhang, H Shan, M Li, S Ju, Z Zhao, Z Zhang, ...
IEEE transactions on medical imaging 39 (1), 188-203, 2019
5142019
3-D convolutional encoder-decoder network for low-dose CT via transfer learning from a 2-D trained network
H Shan, Y Zhang, Q Yang, U Kruger, MK Kalra, L Sun, W Cong, G Wang
IEEE transactions on medical imaging 37 (6), 1522-1534, 2018
4902018
Practical reconstruction method for bioluminescence tomography
W Cong, G Wang, D Kumar, Y Liu, M Jiang, LV Wang, EA Hoffman, ...
Optics Express 13 (18), 6756-6771, 2005
3622005
Structurally-sensitive multi-scale deep neural network for low-dose CT denoising
C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju, Z Zhang, Z Zhao, Y Zhang, ...
IEEE access 6, 41839-41855, 2018
2542018
In vivo mouse studies with bioluminescence tomography
G Wang, W Cong, K Durairaj, X Qian, H Shen, P Sinn, E Hoffman, ...
Optics Express 14 (17), 7801-7809, 2006
2192006
A multilevel adaptive finite element algorithm for bioluminescence tomography
Y Lv, J Tian, W Cong, G Wang, J Luo, W Yang, H Li
Optics Express 14 (18), 8211-8223, 2006
2092006
Multi-parameter X-ray computed tomography
G Wang, W Cong
US Patent 8,121,249, 2012
2002012
A mouse optical simulation environment (MOSE) to investigate bioluminescent phenomena in the living mouse with the monte carlo method1
H Li, J Tian, F Zhu, W Cong, LV Wang, EA Hoffman, G Wang
Academic Radiology 11 (9), 1029-1038, 2004
1732004
Spectral CT reconstruction with image sparsity and spectral mean
Y Zhang, Y Xi, Q Yang, W Cong, J Zhou, G Wang
IEEE transactions on computational imaging 2 (4), 510-523, 2016
1242016
Spectrally resolved bioluminescence tomography with adaptive finite element analysis: methodology and simulation
Y Lv, J Tian, W Cong, G Wang, W Yang, C Qin, M Xu
Physics in Medicine & Biology 52 (15), 4497, 2007
992007
Extended interior methods and systems for spectral, optical, and photoacoustic imaging
G Wang, Y Xu, A Cong, H Shen, W Cong, L Yang, Y Lu
US Patent 8,862,206, 2014
922014
Lp regularization for early gate fluorescence molecular tomography
L Zhao, H Yang, W Cong, G Wang, X Intes
Optics letters 39 (14), 4156-4159, 2014
912014
Mathematical theory and numerical analysis of bioluminescence tomography
W Han, W Cong, G Wang
Inverse problems 22 (5), 1659, 2006
872006
Optimization of K‐edge imaging with spectral CT
P He, B Wei, W Cong, G Wang
Medical physics 39 (11), 6572-6579, 2012
752012
Tomographic image reconstruction via machine learning
G Wang, W Cong, Y Qingsong
US Patent 10,970,887, 2021
742021
Overview of bioluminescence tomography-a new molecular imaging modality
G Wang, W Cong, H Shen, X Qian, M Henry, Y Wang
Front. Biosci 13 (13), 1281-1293, 2008
732008
Spectral CT modeling and reconstruction with hybrid detectors in dynamic-threshold-based counting and integrating modes
L Li, Z Chen, W Cong, G Wang
IEEE transactions on medical imaging 34 (3), 716-728, 2014
722014
A new type of neurons for machine learning
F Fan, W Cong, G Wang
International journal for numerical methods in biomedical engineering 34 (2 …, 2018
712018
Image reconstruction for bioluminescence tomography from partial measurement
M Jiang, T Zhou, J Cheng, W Cong, G Wang
Optics Express 15 (18), 11095-11116, 2007
702007
Generation of nondiffracting beams by diffractive phase elements
WX Cong, NX Chen, BY Gu
JOSA A 15 (9), 2362-2364, 1998
681998
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Articles 1–20